This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics.
Martin Gonzalez is a Regional Cost Accounting Manager for Jabil, a global manufacturing services company based in Florida with more than 170,000 employees worldwide. Jabil
In early 2018, I had a conversation with some of my leadership team about what we could build to address our client’s most pressing needs. We knew data was growing at an exponential rate, and analytics were critical. Our decision was to build a data and AI platform, one single platform that clients
Modern Data and AI application deployments are expanding through open source containers and hybrid multi-cloud support, but how can you achieve the benefits of infrastructure optimization and unified operationalization without vendor lock-in?
In this era of increasing AI/ML workloads and the need
Around the world, companies are pivoting to adjust to an entirely new reality. Business-as-usual means something far different today than it did just a few months ago. For most enterprises, digital transformation isn’t just a distant business objective—now it’s an imperative to find new ways of
India’s current patient to physician ratio prevents thousands from receiving individualized care needed. iKure has developed a network of facilities with an integrated EMR system that brings care to rural communities in India, Vietnam, and Africa at an affordable and convenient way.
Using data to navigate the COVID-19 crisis
From electronic healthcare records to mapping the human genome, data remains critical to quality healthcare.
At no time could the significance of healthcare data be more crucial. The COVID-19 crisis has magnified the importance of collecting and
The data science market is evolving rapidly. Businesses need to respond to a volatile climate and be able to scale cost-efficiently by automating AI lifecycle management. A key phase in the AI lifecycle is model selection, training, and deployment. Many data scientists and developers today want to
The integrity and trustworthiness of data or any other master entity is enforced via data quality rules. Customers no longer want to rely on hand crafted rules that can number in the thousands, which in turn also need a lot of maintenance.
Riding on the machine learning (ML) wave, customers can
Many enterprises have a tangled data management system, comprised of an assortment of products assembled together, in an attempt to meet the complex needs of modern day data management. The labyrinth of convoluted data management systems often evolves as a natural response to data
There are some people, like me, who like to know how the story ends and thus may occasionally read the last chapter before going back and reading the rest of the book. So, I guess this is a spoiler alert. The answer to the question is, “Netezza is still alive, well and evolving and IBM has now come
Accurate product details and descriptions shape buyer and user behavior. These details – product size, weights, descriptions, reviews, certifications, etc – make the products findable to address shopper needs and allow for comparison. The need extends across industries, including both traditional
Merging creativity, data and technology
Using data to shape new messaging or find new prospects is core to our business, but we wanted to do more, and do it better. In markets continually roiled by disruption and innovation, we needed to help our clients move beyond transactional relationships